Director, Oncology AI Product & Engineering Lead
Pfizer
August 11, 2026
Remote friendly (La Jolla, CA)
United States
IT
Key Responsibilities:
- Own Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence.
- Lead and manage a cross-functional team of AI engineers (technical direction, prioritization, coaching).
- Translate complex scientific and operational problems into AI product requirements, success metrics, and delivery plans.
- Partner with Oncology, clinical, Digital, Enterprise AI, and IT stakeholders to align solutions with enterprise platforms and governance.
- Evaluate AI concepts, prototypes, and technical approaches; guide trade-off decisions.
- Assess Oncology workflows to identify opportunities for automation and process improvements.
- Drive stakeholder engagement, change management, and adoption beyond pilots to sustained impact.
- Establish lightweight governance, delivery standards, and value tracking.
- Represent Oncology AI initiatives in leadership and cross-enterprise forums.
Basic Qualifications:
- PhD (or Master’s) in CS/ML/Data Science/Software Engineering/AI (or related) plus 5+ (or 7+) years applied analytical experience impacting operations, automation, business analytics, or decision support.
- Demonstrated impact leading AI-enabled products/platforms/analytics in pharma/biotech/healthcare tech/AI startups.
- Strong understanding of Oncology R&D workflows and the role of data/AI in scientific/clinical decision-making.
- Proven ability to lead multidisciplinary technical teams in a matrixed environment.
- High technical fluency to evaluate AI/ML approaches without hands-on development.
- Excellent communication and stakeholder management.
Preferred Qualifications:
- Intersection experience of science, product management, and engineering.
- Familiarity with AI/ML concepts (data pipelines, model development, prototyping workflows).
- Experience scaling AI solutions in large, regulated organizations.
Benefits/Compensation (as stated):
- Base salary range: $176,600–$294,300. Eligible for Global Performance Plan bonus target of 20% and long-term incentives; benefits include 401(k), paid time off, caregiver/parental and medical leave, and medical/dental/vision coverage.
- Own Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence.
- Lead and manage a cross-functional team of AI engineers (technical direction, prioritization, coaching).
- Translate complex scientific and operational problems into AI product requirements, success metrics, and delivery plans.
- Partner with Oncology, clinical, Digital, Enterprise AI, and IT stakeholders to align solutions with enterprise platforms and governance.
- Evaluate AI concepts, prototypes, and technical approaches; guide trade-off decisions.
- Assess Oncology workflows to identify opportunities for automation and process improvements.
- Drive stakeholder engagement, change management, and adoption beyond pilots to sustained impact.
- Establish lightweight governance, delivery standards, and value tracking.
- Represent Oncology AI initiatives in leadership and cross-enterprise forums.
Basic Qualifications:
- PhD (or Master’s) in CS/ML/Data Science/Software Engineering/AI (or related) plus 5+ (or 7+) years applied analytical experience impacting operations, automation, business analytics, or decision support.
- Demonstrated impact leading AI-enabled products/platforms/analytics in pharma/biotech/healthcare tech/AI startups.
- Strong understanding of Oncology R&D workflows and the role of data/AI in scientific/clinical decision-making.
- Proven ability to lead multidisciplinary technical teams in a matrixed environment.
- High technical fluency to evaluate AI/ML approaches without hands-on development.
- Excellent communication and stakeholder management.
Preferred Qualifications:
- Intersection experience of science, product management, and engineering.
- Familiarity with AI/ML concepts (data pipelines, model development, prototyping workflows).
- Experience scaling AI solutions in large, regulated organizations.
Benefits/Compensation (as stated):
- Base salary range: $176,600–$294,300. Eligible for Global Performance Plan bonus target of 20% and long-term incentives; benefits include 401(k), paid time off, caregiver/parental and medical leave, and medical/dental/vision coverage.